Wu Xiao-Hua

897 citations
13 papers · 696 · h-index 8

Impact in

Papers in

    • Signaling Pathways in Disease 1
    • Advanced biosensing and bioanalysis techniques 1
    • Cytokine Signaling Pathways and Interactions 1

Wu Xiao-Hua

12 papers receiving 675 citations

Peers

Wu Xiao-Hua
Comparison fields: 5 of 104
  • Bioengineering 63
  • Electrochemistry 62
  • Molecular Biology 338
  • Biomedical Engineering 196
  • Cancer Research 63
Replace Haibo Qiu with:
Haibo Qiu United States
Panpan Dai China
Urmila Saxena India
Alicia Megía-Fernández United Kingdom
Pengfei Pang China
Ines Block Germany
Dali Sun United States
Lei Xia China
Ying Yue China
Wu Xiao-Hua relative to Haibo Qiu United States Haibo Qiu's profile →
Citations per field
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Haibo Qiu · 1×
Citations per year

Countries citing papers authored by Wu Xiao-Hua

Since Specialization
Citations

This map shows the geographic impact of Wu Xiao-Hua's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wu Xiao-Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Xiao-Hua more than expected).

Fields of papers citing papers by Wu Xiao-Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wu Xiao-Hua. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wu Xiao-Hua. The network helps show where Wu Xiao-Hua may publish in the future.

Co-authors

The 25 scholars most cited alongside Wu Xiao-Hua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wu Xiao-Hua Line = papers co-authored together Wu Xiao-Hua links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2004394
2
Overexpression of extracellular matrix metalloproteinase inducer in multidrug resistant cancer cells.
2003155
3 200954
4 200929
5 201527
6 201210
7 200710
8 20069
9 20044
10 20092
11 20041
12
[Identification of rhizoma atractylodes based on FTIR spectra and radial basis function network].
20061
13 20220

About Wu Xiao-Hua

Wu Xiao-Hua is a scholar working on Molecular Biology, Oncology, Electrical and Electronic Engineering, Complementary and alternative medicine and Nuclear and High Energy Physics, having authored 13 papers that have together received 696 indexed citations. Recurring topics across this work include Electrochemical sensors and biosensors (2 papers), Particle physics theoretical and experimental studies (2 papers), High-Energy Particle Collisions Research (2 papers), Quantum Chromodynamics and Particle Interactions (2 papers), Traditional Chinese Medicine Analysis (2 papers), Signaling Pathways in Disease (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Bioengineering (63 citations), Electrochemistry (62 citations), Molecular Biology (338 citations), Biomedical Engineering (196 citations) and Cancer Research (63 citations). Wu Xiao-Hua has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yuqing Miao, Jianrong Chen, Nongyue He, Zu‐De Xu, Jin Yang, Hao Wu, Hongguang Zhu, William N. Hait, Xiaopeng Jia and Yanan Sun. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Rapid Communications in Mass Spectrometry, Journal of The Electrochemical Society, Biotechnology Advances and Gynecologic and Obstetric Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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